Self-Organizing Maps Algorithm for Parton Distribution Functions Extraction
S.Liuti, K. Holcomb, E. Askanazi
TL;DR
This paper introduces a novel method using Self-Organizing Maps to extract parton distribution functions from scattering data, potentially applicable to complex distributions like generalized parton distributions.
Contribution
The paper presents a new approach employing Self-Organizing Maps for extracting parton distribution functions, extending to complex soft matrix elements.
Findings
Effective extraction of parton distribution functions demonstrated
Extension to generalized parton distributions discussed
Potential for analyzing complex soft matrix elements
Abstract
We describe a new method to extract parton distribution functions from hard scattering processes based on Self-Organizing Maps. The extension to a larger, and more complex class of soft matrix elements, including generalized parton distributions is also discussed.
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